- Back in November, Google released artificial intelligence experiment that asks you to draw a random object and see if the neural network can identify your doodle.
- was eventually turned into a tool that transformed drawings into clip art based on the best results it got, helping people add a visual icon to their work without requiring any particular artistic talent.
- I wasn’t very confident in my frog (croak) so I felt that adding “Ribbit” to the drawing might provide context, even if the AI might not be able to read.
- Face is a neat one too — I’d guess that depending on the artist, most of these drawings were interpreted as a self portrait.
- While you can argue that most people see frog in mostly the same way, dragon produced a variety of results — from fire-breathing to horned.
Back in November, Google released artificial intelligence experiment that asks you to draw a random object and see if the neural network can identify your doodle. Quick, Draw! was eventually turned…
Continue reading “Google made a site that shows how millions of people draw the same object”
- Google has been working on a wide range of AI-based projects lately – earlier this week, it showed off one that can identify what you’re trying to draw and surface clean clipart that resembles your doodle.
- Its latest experiment is called Sketch-RNN, and it’s a neural network system that has learned to draw on its own by looking at roughly 5.5 million sketches from people who played Pictionary with Google’s AI-powered Quick, Draw!
- By triaging sketches in 75 different categories like cats, pigs and trucks, the AI can now draw basic representations of these things when presented with hand-drawn sketches.
- Sketch-RNN can also draw without the help of a starting sketch, and can even complete sketches that a human has started, but not finished.
- Sure, the sketches aren’t exactly photorealistic, but the idea here is to ‘train a machine to draw and generalize abstract concepts in a manner similar to humans’, and Google has achieved that.
Google’s latest experiment is a neural network system that has learned to draw by looking at roughly 5.5 million sketches from people who played pictionary.
Continue reading “Google used your pictionary sketches to teach its AI to draw”
- If you’re interested in learning more about the magic behind AutoDraw, check out “Quick, Draw!”
- (one of our A.I. Experiments).
- AutoDraw’s suggestion tool uses the same technology to guess what you’re trying to draw.Big thanks to the artists, designers, illustrators and friends of Google who created original drawings for AutoDraw.HAWRAF, Design StudioErin Butner, DesignerJulia Melograna, IllustratorPei Liew, DesignerSimone Noronha, DesignerTori Hinn, DesignerSelman Design, Creative StudioIf you are interested in submitting your own drawings, you can do that here.
- We hope that AutoDraw, our latest A.I. Experiment, will make drawing more accessible and fun for everyone.
AutoDraw is a new A.I. Experiment, built by Google Creative Lab, which uses machine learning and artists’ drawings, to help everyone create anything visual, fast.
Continue reading “Fast Drawing for Everyone”
- Google is letting users peek into some of its most experimental artificial intelligence projects.
- Play a few notes on a computer-connected keyboard and the algorithm plays a few notes of its own based on what you played.
- Google is also posting the code for all the projects on A.I. Experiments on Github so developers can tinker around with tools themselves and is taking submissions from developers who have used Google’s tech to make similar applications.
- Another experiment, called A.I. Duet, shows how artificial intelligence can be applied to music.
- The site offers hands-on demos that allow you to interact with projects created by Google researchers that show off their AI technology.
Take a peek into Google’s experimental artificial intelligence research.
Continue reading “Google’s new website lets you play with its experimental AI projects”